Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships DOI
Shaojun Ren, Shiliang Wu,

Qihang Weng

и другие.

Bioresource Technology, Год журнала: 2022, Номер 369, С. 128472 - 128472

Опубликована: Дек. 9, 2022

Язык: Английский

Application of biochar derived from crops residues for biofuel production DOI Creative Commons
Omojola Awogbemi, Daramy Vandi Von Kallon

Fuel Communications, Год журнала: 2023, Номер 15, С. 100088 - 100088

Опубликована: Март 13, 2023

Crop residues are a major component of lignocellulosic biomass waste generated from the agriculture sector. Improper management these wastes pollutes environment, contaminates water bodies, and constitutes hazards to human health. The conversion crop biochar is an ecologically benign sustainable strategy for management. This review provides novel insight into techniques converting various classes such as straws, peels, bagasse, husks, shells, cobs, stubbles biofuel production. updated information on description, benefits, drawbacks production including traditional, modern, also surveyed. study concluded effectiveness derived catalysts or support biodiesel, biohydrogen, biomethane deployment residue cost-effective, eco-friendly, contributes environmental sustainability. More multidisciplinary investigations required harness benefits derivable application synthesis confront challenges associated with generation process guarantee intensification use innovative technologies should be encouraged guide future research toward ensuring cleaner, ecological utilization

Язык: Английский

Процитировано

49

Reaction engineering during biomass gasification and conversion to energy DOI

Shivpal Verma,

Andrei Mikhailovich Dregulo, Vinay Kumar

и другие.

Energy, Год журнала: 2022, Номер 266, С. 126458 - 126458

Опубликована: Дек. 22, 2022

Язык: Английский

Процитировано

42

Thermo-Economic analysis of a novel biomass Gasification-Based power system integrated with a supercritical CO2 cycle and a Coal-Fired power plant DOI
Heng Chen, Di Lu,

Jizhen An

и другие.

Energy Conversion and Management, Год журнала: 2022, Номер 266, С. 115860 - 115860

Опубликована: Июнь 9, 2022

Язык: Английский

Процитировано

40

Modelling and statistical analysis of plastic biomass mixture co-gasification DOI
Mojtaba Ajorloo, Maryam Ghodrat, Jason Scott

и другие.

Energy, Год журнала: 2022, Номер 256, С. 124638 - 124638

Опубликована: Июнь 28, 2022

Язык: Английский

Процитировано

40

Steam reforming of biomass gasification gas for hydrogen production: From thermodynamic analysis to experimental validation DOI Creative Commons
João Brito, Filomena Pinto, Alexandre Ferreira

и другие.

Fuel Processing Technology, Год журнала: 2023, Номер 250, С. 107859 - 107859

Опубликована: Июнь 8, 2023

Biomass gasification produces syngas composed mainly of hydrogen, carbon monoxide, dioxide, methane, water, and higher hydrocarbons, till C4, ethane. The hydrocarbon content can be upgraded into richer hydrogen streams through the steam reforming reaction. This study assessed process at thermodynamic equilibrium five streams, with different compositions, from three biomass sources (Lignin, Miscanthus, Eucalyptus). simulations were performed on Aspen Plus V12 software using Gibbs energy minimization method. influence operating conditions yield was assessed: temperature in range 200 to 1100 °C, pressures 1 20 bar, steam-to‑carbon (S/C) molar ratios 0 (only dry reforming) 10. It observed that 725 850 an S/C ratio 3 enhanced streams' led nearly complete conversion (>99%). Regarding purity, stream obtained Lignin followed by a conditioning phase (stream 5) has highest 52.7%, 48.7%. In contrast, without any 1) greatest increase 19% 51.2% 61.8%. Concerning coke formation, it mitigated for temperatures >2 700 respectively. Experimental tests carried out, which show similar trend simulation results, particularly high (700–800 °C).

Язык: Английский

Процитировано

34

Investigation of hydrogen production via waste plastic gasification in a fluidized bed reactor using Aspen Plus DOI
Duygu Gündüz Raheem, Kaan Erdem, Adnan Midilli

и другие.

International Journal of Hydrogen Energy, Год журнала: 2023, Номер 48(99), С. 39315 - 39329

Опубликована: Июль 18, 2023

Язык: Английский

Процитировано

30

Analysis of technological developments and potential of biomass gasification as a viable industrial process: A review DOI Creative Commons
Erdiwansyah Erdiwansyah, Asri Gani, Muhammad Zaki

и другие.

Case Studies in Chemical and Environmental Engineering, Год журнала: 2023, Номер 8, С. 100439 - 100439

Опубликована: Авг. 2, 2023

- They use technologies for the thermochemical conversion of substances biomass, like pyrolysis, torrefaction, gasification, and hydrothermal process. In recent years, generation synthetic gas has significantly developed. This is especially true when associated with biomass gasification processes, primarily related to syngas production. The review focuses on cleaning syngas, simulation methods procedure parameters. conclusion, prospect growths opportunities are investigated, discussions culminate presentation a novel hydrogen fabrication strategy predicated utilizing modified combustion process that operates such an air deficit.

Язык: Английский

Процитировано

29

A comprehensive overview of the continuous torrefaction method: Operational characteristics, applications, and challenges DOI
Arash Javanmard, Muhamad Fazly Abdul Patah, Zulhelmi Amir

и другие.

Journal of the Energy Institute, Год журнала: 2023, Номер 108, С. 101199 - 101199

Опубликована: Фев. 10, 2023

Язык: Английский

Процитировано

27

Machine learning utilization on air gasification of polyethylene terephthalate waste DOI Creative Commons
Rezgar Hasanzadeh, Taher Azdast

Waste Management Bulletin, Год журнала: 2023, Номер 2(1), С. 75 - 82

Опубликована: Дек. 30, 2023

Studies in the field of machine learning utilization on air gasification polyethylene terephthalate (PET) waste are utmost importance and can contribute to solving environmental challenges associated with PET while also promoting development advanced technologies management renewable energy. The primary objective this study is focus process through algorithms. aim assess how well these algorithms predict evaluate performance waste. To achieve this, a model for created, developed evaluated based their performance. results suggest that H2/CO has high accuracy, as indicated by its R-sq value 91.86%. It important highlight models lower heating values cold gas efficiency show excellent 99.84%. predicted (higher than 90% higher 99% efficiency) indicate excel predicting future observations great accuracy.

Язык: Английский

Процитировано

27

Experimental and numerical modeling of carbonized biomass gasification: A critical review DOI Creative Commons

Kannie Winston Kuttin,

Haowen Yu,

Mingming Yang

и другие.

Green Carbon, Год журнала: 2024, Номер 2(2), С. 176 - 196

Опубликована: Май 28, 2024

Gasification is one of the most significant and well-researched pathways to produce energy from biomass among different options available. It a conversion through thermo-chemical process that takes place within gasifier, with interconnected factors have an impact on how well gasifier works. carbonized biomass, which has variety effects both gasification final product, method producing raw contains lot moisture or non-homogeneous morphology. Although potential eliminate significantly reduce tar formation, difficult aspect design operation, it not received attention merits even though well-known extensive research development spanning all sectors process. This review gathers analyzes growing number experimental numerical modeling approaches in based exact conditions such as type considerations, feedstock, assessed parameters. The study also provides overview various models, equilibrium kinetic rate models simulations schemes computational fluid dynamics Aspen Plus, while comparing results for each are described literature. Also, this encompasses broad technologies, laboratory reactors industrial scale. Overall, offers brief decisions must be taken at beginning research.

Язык: Английский

Процитировано

11